Real-time workload assessment under actual working conditions enables the immediate identification of ergonomically suboptimal postures, facilitating the early implementation of corrective measures to mitigate the risk of work-related musculoskeletal disorders and enhance workflow efficiency. With the advancement of digital technologies, novel opportunities have emerged for dynamic, objective evaluation of postures directly within the environment. This study explores the application of digital ergonomics, focusing on the utilization of digital tools for real-time workload monitoring. The primary objective is to present an analytical methodology applied in situ, aimed at identifying the level of musculoskeletal load and mitigating health risks for workers. For this purpose, the freely accessible mobile application was employed. This application integrates the standardized Rapid Upper Limb Assessment method, designed to evaluate postural loads affecting the upper limbs, trunk, and neck. The ergonomic analysis was conducted in a service hall, targeting two distinct tasks hanging a car door and transporting the door to a designated repair station. The real-time evaluation revealed moderate musculoskeletal strain during the door-hanging activity, while the task of carrying the door was classified as involving severe postural loading. Based on these findings, targeted ergonomic interventions are proposed to eliminate or significantly reduce the identified biomechanical risks.